| 2025 | MICRO | StreamTensor: Make Tensors Stream in Dataflow Accelerators for LLMs. | Hanchen Ye, Deming Chen |
| 2024 | ASPDAC | Invited Paper: Software/Hardware Co-design for LLM and Its Application for Design Verification. | Lily Jiaxin Wan, Yingbing Huang, Yuhong Li, Hanchen Ye, Jinghua Wang, Xiaofan Zhang, Deming Chen |
| 2024 | ASPLOS | HIDA: A Hierarchical Dataflow Compiler for High-Level Synthesis. | Hanchen Ye, Hyegang Jun, Deming Chen |
| 2024 | DAC | Invited: New Solutions on LLM Acceleration, Optimization, and Application. | Yingbing Huang, Lily Jiaxin Wan, Hanchen Ye, Manvi Jha, Jinghua Wang, Yuhong Li, Xiaofan Zhang, Deming Chen |
| 2024 | DATE | Subgraph Extraction-Based Feedback-Guided Iterative Scheduling for HLS. | Hanchen Ye, David Z. Pan, Chris Leary, Deming Chen, Xiaoqing Xu |
| 2023 | FPGA | CHARM: Composing Heterogeneous AcceleRators for Matrix Multiply on Versal ACAP Architecture. | Jinming Zhuang, Jason Lau, Hanchen Ye, Zhuoping Yang, Yubo Du, Jack Lo, Kristof Denolf, Stephen Neuendorffer, Alex K. Jones, Jingtong Hu, Deming Chen, Jason Cong, Peipei Zhou |
| 2022 | DAC | ScaleHLS: a scalable high-level synthesis framework with multi-level transformations and optimizations: invited. | Hanchen Ye, HyeGang Jun, Hyunmin Jeong, Stephen Neuendorffer, Deming Chen |
| 2022 | HPCA | ScaleHLS: A New Scalable High-Level Synthesis Framework on Multi-Level Intermediate Representation. | Hanchen Ye, Cong Hao, Jianyi Cheng, Hyunmin Jeong, Jack Huang, Stephen Neuendorffer, Deming Chen |
| 2020 | DAC | HybridDNN: A Framework for High-Performance Hybrid DNN Accelerator Design and Implementation. | Hanchen Ye, Xiaofan Zhang, Zhize Huang, Gengsheng Chen, Deming Chen |
| 2020 | ICCAD | DNNExplorer: A Framework for Modeling and Exploring a Novel Paradigm of FPGA-based DNN Accelerator. | Xiaofan Zhang, Hanchen Ye, Junsong Wang, Yonghua Lin, Jinjun Xiong, Wen-Mei Hwu, Deming Chen |